109 related articles for article (PubMed ID: 38848168)
1. LDCT image biomarkers that matter most for the deep learning classification of indeterminate pulmonary nodules.
Masquelin AH; Cheney N; José Estépar RS; Bates JHT; Kinsey CM
Cancer Biomark; 2024 May; ():. PubMed ID: 38848168
[TBL] [Abstract][Full Text] [Related]
2. Perinodular Parenchymal Features Improve Indeterminate Lung Nodule Classification.
Masquelin AH; Alshaabi T; Cheney N; Estépar RSJ; Bates JHT; Kinsey CM
Acad Radiol; 2023 Jun; 30(6):1073-1080. PubMed ID: 35933282
[TBL] [Abstract][Full Text] [Related]
3. An improved 3-D attention CNN with hybrid loss and feature fusion for pulmonary nodule classification.
Huang YS; Wang TC; Huang SZ; Zhang J; Chen HM; Chang YC; Chang RF
Comput Methods Programs Biomed; 2023 Feb; 229():107278. PubMed ID: 36463674
[TBL] [Abstract][Full Text] [Related]
4. Recalibration of a Deep Learning Model for Low-Dose Computed Tomographic Images to Inform Lung Cancer Screening Intervals.
Landy R; Wang VL; Baldwin DR; Pinsky PF; Cheung LC; Castle PE; Skarzynski M; Robbins HA; Katki HA
JAMA Netw Open; 2023 Mar; 6(3):e233273. PubMed ID: 36929398
[TBL] [Abstract][Full Text] [Related]
5. Unboxing AI - Radiological Insights Into a Deep Neural Network for Lung Nodule Characterization.
Venugopal VK; Vaidhya K; Murugavel M; Chunduru A; Mahajan V; Vaidya S; Mahra D; Rangasai A; Mahajan H
Acad Radiol; 2020 Jan; 27(1):88-95. PubMed ID: 31623996
[TBL] [Abstract][Full Text] [Related]
6. Lung cancer prediction by Deep Learning to identify benign lung nodules.
Heuvelmans MA; van Ooijen PMA; Ather S; Silva CF; Han D; Heussel CP; Hickes W; Kauczor HU; Novotny P; Peschl H; Rook M; Rubtsov R; von Stackelberg O; Tsakok MT; Arteta C; Declerck J; Kadir T; Pickup L; Gleeson F; Oudkerk M
Lung Cancer; 2021 Apr; 154():1-4. PubMed ID: 33556604
[TBL] [Abstract][Full Text] [Related]
7. Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.
Wang Y; Zhou C; Chan HP; Hadjiiski LM; Chughtai A; Kazerooni EA
Med Phys; 2022 Nov; 49(11):7287-7302. PubMed ID: 35717560
[TBL] [Abstract][Full Text] [Related]
8. Human-recognizable CT image features of subsolid lung nodules associated with diagnosis and classification by convolutional neural networks.
Jiang B; Zhang Y; Zhang L; H de Bock G; Vliegenthart R; Xie X
Eur Radiol; 2021 Oct; 31(10):7303-7315. PubMed ID: 33847813
[TBL] [Abstract][Full Text] [Related]
9. Development, Validation, and Comparison of Image-Based, Clinical Feature-Based and Fusion Artificial Intelligence Diagnostic Models in Differentiating Benign and Malignant Pulmonary Ground-Glass Nodules.
Wang X; Gao M; Xie J; Deng Y; Tu W; Yang H; Liang S; Xu P; Zhang M; Lu Y; Fu C; Li Q; Fan L; Liu S
Front Oncol; 2022; 12():892890. PubMed ID: 35747810
[TBL] [Abstract][Full Text] [Related]
10. Development of a modified 3D region proposal network for lung nodule detection in computed tomography scans: a secondary analysis of lung nodule datasets.
Lin CY; Guo SM; Lien JJ; Tsai TY; Liu YS; Lai CH; Hsu IL; Chang CC; Tseng YL
Cancer Imaging; 2024 Mar; 24(1):40. PubMed ID: 38509635
[TBL] [Abstract][Full Text] [Related]
11. Fully automatic deep learning-based lung parenchyma segmentation and boundary correction in thoracic CT scans.
Rikhari H; Baidya Kayal E; Ganguly S; Sasi A; Sharma S; Dheeksha DS; Saini M; Rangarajan K; Bakhshi S; Kandasamy D; Mehndiratta A
Int J Comput Assist Radiol Surg; 2024 Feb; 19(2):261-272. PubMed ID: 37594684
[TBL] [Abstract][Full Text] [Related]
12. Semi-automated pulmonary nodule interval segmentation using the NLST data.
Balagurunathan Y; Beers A; Kalpathy-Cramer J; McNitt-Gray M; Hadjiiski L; Zhao B; Zhu J; Yang H; Yip SSF; Aerts HJWL; Napel S; Cherezov D; Cha K; Chan HP; Flores C; Garcia A; Gillies R; Goldgof D
Med Phys; 2018 Mar; 45(3):1093-1107. PubMed ID: 29363773
[TBL] [Abstract][Full Text] [Related]
13. Computed Tomography Image under Convolutional Neural Network Deep Learning Algorithm in Pulmonary Nodule Detection and Lung Function Examination.
Zhang C; Li J; Huang J; Wu S
J Healthc Eng; 2021; 2021():3417285. PubMed ID: 34721823
[TBL] [Abstract][Full Text] [Related]
14. Lung nodule malignancy classification with associated pulmonary fibrosis using 3D attention-gated convolutional network with CT scans.
Liu Y; Hsu HY; Lin T; Peng B; Saqi A; Salvatore MM; Jambawalikar S
J Transl Med; 2024 Jan; 22(1):51. PubMed ID: 38216992
[TBL] [Abstract][Full Text] [Related]
15. Ultrasound Image Classification of Thyroid Nodules Based on Deep Learning.
Yang J; Shi X; Wang B; Qiu W; Tian G; Wang X; Wang P; Yang J
Front Oncol; 2022; 12():905955. PubMed ID: 35912199
[TBL] [Abstract][Full Text] [Related]
16. Pulmonary nodules detection assistant platform: An effective computer aided system for early pulmonary nodules detection in physical examination.
Han Y; Qi H; Wang L; Chen C; Miao J; Xu H; Wang Z; Guo Z; Xu Q; Lin Q; Liu H; Lu J; Liang F; Feng W; Li H; Liu Y
Comput Methods Programs Biomed; 2022 Apr; 217():106680. PubMed ID: 35176595
[TBL] [Abstract][Full Text] [Related]
17. Study on Identification Method of Pulmonary Nodules: Improved Random Walk Pulmonary Parenchyma Segmentation and Fusion Multi-Feature VGG16 Nodule Classification.
Zhang Y; Meng L
Front Oncol; 2022; 12():822827. PubMed ID: 35371983
[TBL] [Abstract][Full Text] [Related]
18. Machine learning approach for distinguishing malignant and benign lung nodules utilizing standardized perinodular parenchymal features from CT.
Uthoff J; Stephens MJ; Newell JD; Hoffman EA; Larson J; Koehn N; De Stefano FA; Lusk CM; Wenzlaff AS; Watza D; Neslund-Dudas C; Carr LL; Lynch DA; Schwartz AG; Sieren JC
Med Phys; 2019 Jul; 46(7):3207-3216. PubMed ID: 31087332
[TBL] [Abstract][Full Text] [Related]
19. Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method.
Jung H; Kim B; Lee I; Lee J; Kang J
BMC Med Imaging; 2018 Dec; 18(1):48. PubMed ID: 30509191
[TBL] [Abstract][Full Text] [Related]
20. A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.
Huang W; Xue Y; Wu Y
PLoS One; 2019; 14(7):e0219369. PubMed ID: 31299053
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
